What problem does it solve? Teams building interfaces often ship inconsistent visuals, generic AI-generated aesthetics, and undocumented design decisions that drift across components. This Skill provides a structured audit checklist and rule set for defining design tokens, visual hierarchy, composition grammar, and anti-pattern detection so interfaces stay coherent and reproducible. ## Core Features & Use Cases - Token & Foundation Definition: Establish semantic color, typography, spacing, elevation, motion, and radius tokens with light/dark mode mapping and governance rules. - Anti-Pattern Detection: Identify generated-UI tells such as gradient text, nested cards, AI violet palettes, side-tab borders, and flat type hierarchies with concrete acceptance criteria. - AI-Recreation Resilience: Produce identity statements, asset taxonomies, composition grammar, and failure-mode tables so an AI can recreate an interface from screenshots without drift. - Use Case: When auditing a landing page that looks generic, run this Skill to flag violations like hero eyebrow chips, oversized headlines, and hardcoded hex colors, then output a token-based remediation plan. ## Quick Start Audit this interface's design system and define semantic color, typography, and spacing tokens with light and dark mode support.